Tried running a verifier on @miranetwork this week to see if the trust layer is real. Setup was straightforward: pick a client, point to local GPU (or rent from i o . n e t), stake a bit of $MIRA, and join the network. The job stream breaks AI outputs into binary claims, routes them to multiple models, and asks you to attest. You submit your votes, watch consensus form, and see the proof anchored #onchain. Accurate batches earned me rewards; lazy or contradictory checks risk slashing. Feels like turning AI QA into an open market
Then I listed a tiny sentiment model on Flows. It got pulled into cross-checks and started accruing usage fees. Not life-changing, but real signal that data, models, and compute can all earn under one roof
If #AI is going to run decisions, this is the missing piece: verifiable outputs with incentives that bite. What critical apps would you anchor to Mira first?
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